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Developer Tools · head to head

Nx Cloud vs Trino

Nx Cloud logo

Nx Cloud

Developer Tools

Distributed CI and remote caching for monorepo teams

From
Free
Free plan
Yes
Full reviewWebsite
Trino logo

Trino

Technology

A distributed SQL engine that queries data where it already lives, across object storage, warehouses and operational databases.

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Nx Cloud requires Nx workspace setup; integration limited to Nx build system; Trino trino stores nothing and computes no statistics of its own, so the plan it produces is only as good as the partitioning, file sizes and table statistics on the source; a Hive table of thousands of small files or a lake with no stats produces a slow query the engine cannot improve.
  • They diverge on capability: Nx Cloud covers Nx Replay, Trino covers Federated querying.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Nx Cloud and Trino actually diverge.

Attributes where Nx Cloud and Trino differ
AttributeNx CloudTrino
Pricing modelcredits-basedopen-source
PlatformsWeb, CI/CD SystemsWeb
CategoryDeveloper ToolsTechnology

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Nx Cloud

  • Nx Replay
  • Nx Agents
  • Remote execution
  • Advanced analytics
  • Conformance rules
  • AI-powered recovery
  • Multi-repository visibility

Only in Trino

  • Federated querying
  • Connector architecture
  • Predicate and aggregation pushdown
  • Massively parallel execution
  • Fault-tolerant execution
  • Resource groups
  • Iceberg and Delta table support
  • Standard client protocols

What people use each for

The jobs each tool is most often brought in to do.

Nx Cloud

  • Accelerating monorepo CI pipelines with distributed task executionnot Trino
  • Reducing build times through remote caching and incremental buildsnot Trino
  • Scaling development teams across complex multi-package projectsnot Trino
  • Enforcing consistency and standards across monorepo workspacesnot Trino

Trino

  • Ad hoc analysis that spans a data lake and one or more operational databases, without building an ingestion pipeline firstnot Nx Cloud
  • Serving a BI tool a single SQL endpoint over an estate that is actually several separate storage systemsnot Nx Cloud
  • Querying Iceberg or Delta tables on object storage interactively, as the compute layer of a lakehousenot Nx Cloud
  • Investigating whether a dataset is worth ingesting, by querying it in place before committing to a pipeline for itnot Nx Cloud

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Nx Cloud

  • Requires Nx workspace setup; integration limited to Nx build system
  • Free tier restricted to 5 contributors; larger teams require paid plans
  • Credits system adds complexity to cost prediction vs flat-rate competitors
  • Self-hosted Enterprise deployment requires significant operational overhead

Trino

  • Trino stores nothing and computes no statistics of its own, so the plan it produces is only as good as the partitioning, file sizes and table statistics on the source; a Hive table of thousands of small files or a lake with no stats produces a slow query the engine cannot improve.
  • Federated queries pull data out of the systems they touch, so a join between a lake table and a production Postgres can put a full table scan onto an OLTP database that other applications depend on, and the person who wrote the query will not see the incident it causes.
  • Releases come roughly every one to two weeks with no community long-term support line, and deprecations arrive quickly, so you either dedicate someone to keeping current or you buy Starburst Enterprise for a supported long-term version.
  • It is memory-based and disk spilling was deprecated in favour of fault-tolerant execution, so a query exceeding cluster memory fails outright rather than degrading; enabling fault-tolerant execution requires an external exchange store on object storage and makes queries measurably slower.
  • It is a query engine and not a warehouse: there is no built-in job scheduling, no incremental materialised view maintenance and no transformation framework, so producing curated tables still needs dbt or an equivalent layer that somebody has to own.
  • The 2020 fork split the ecosystem, so documentation, connectors, Stack Overflow answers and vendor material written before then describe PrestoDB, which is now a different project with different behaviour, and following the wrong one wastes real time.

Pricing, plan by plan

Nx Cloud

Free
  • HobbyFree
    • 50,000 monthly credits
    • 5 contributors
    • 10 concurrent CI connections
  • Team$29/month
    • Usage-based credits ($29 base plus overage)
    • Unlimited contributors
    • Remote caching
  • Enterprise$undefined/custom
    • Complete feature access
    • Conformance rules
    • Cross-repository visibility

Trino

Free

No published plan breakdown. See the Trino review.

Which should you pick?

Choose Nx Cloud if

  • You need nx replay.
  • You want to start without paying.
  • You work on Web, CI/CD Systems.
  • You also want nx agents.
Nx Cloud review

Choose Trino if

  • You need federated querying.
  • You want to start without paying.
  • You also want connector architecture.
Trino review

Questions people ask

Is Nx Cloud or Trino better?
Neither clearly leads. Nx Cloud starts at Free and Trino at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Nx Cloud or Trino?
Nx Cloud starts at Free and Trino at Free.
Does Nx Cloud or Trino run on more platforms?
Nx Cloud runs on Web, CI/CD Systems. Trino runs on Web.
Can I use Nx Cloud for free?
Both have a free tier, so you can try either at no cost before committing.
What is Nx Cloud best used for?
Nx Cloud is most often used for accelerating monorepo ci pipelines with distributed task execution, reducing build times through remote caching and incremental builds, scaling development teams across complex multi-package projects, enforcing consistency and standards across monorepo workspaces. Of those, accelerating monorepo ci pipelines with distributed task execution and reducing build times through remote caching and incremental builds are not what Trino is typically brought in for.
What can Nx Cloud do that Trino cannot?
Nx Cloud covers Nx Replay, Nx Agents, Remote execution, Advanced analytics. Trino covers Federated querying, Connector architecture, Predicate and aggregation pushdown, Massively parallel execution.

Answered from the vendors’ own pages

Nx Cloud: What is included in the free Hobby plan?

The Hobby plan includes 50,000 monthly credits, support for 5 contributors, 10 concurrent CI connections, and basic analytics at no cost with no credit card required.

Source
Trino: What is the difference between Trino and Presto?

They share an origin. The original creators left Meta and renamed their fork from PrestoSQL to Trino in December 2020; PrestoDB continues separately under the Linux Foundation. They have diverged in features, connectors and SQL behaviour, so material written for one may not apply to the other.

Nx Cloud: How are overages charged on the Team plan?

The Team plan starts at $29/month with included credits. Additional credits cost $5.50 per 10,000 credits, extra contributors cost $19 each, and additional CI connections cost $2.25 each.

Source
Trino: Does Trino replace my data warehouse?

Not on its own. It is compute without storage, scheduling or transformation. Paired with Iceberg or Delta on object storage and something like dbt for modelling it can serve as a lakehouse; used alone it is a query layer over what you already have.

Nx Cloud: Can Nx Cloud be self-hosted?

Yes, Enterprise customers can deploy Nx Cloud on-premises or on managed infrastructure to maintain full control over data and infrastructure.

Source
Trino: Why is my federated query slow?

Usually because a connector could not push a filter or aggregation down, so Trino is pulling whole tables across the network to join them itself. The fix is usually better source-side partitioning or statistics, or ingesting that source rather than federating it.

Trino: What happens when a query runs out of memory?

It fails. Disk spilling was deprecated in favour of fault-tolerant execution, which checkpoints to an external exchange store such as S3 and lets long queries survive memory pressure and worker loss, at the cost of noticeably slower execution.

Trino: Is there commercial support?

Yes, from Starburst, which offers Starburst Enterprise with long-term supported releases and Starburst Galaxy as a managed service. The open source project itself has no long-term support line.

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